Overview

Can you imagine building AI‑powered products that transform how business teams generate strategic insights? Join our expert team to work on a Pharmaceutical sector product, contributing to the development of an AI platform that transforms enterprise knowledge into intelligent decision support.

Aunque la experiencia competente y las cualificaciones son clave para este puesto, asegúrese de comprobar si posee las habilidades interpersonales preferibles antes de solicitar, si se requieren.
Responsibilities

You will be responsible for designing and developing AI‑powered capabilities based on LLMs, RAG, and Synthetic AI Personas while building scalable backend services and enterprise integrations. You will collaborate closely with product owners, architects, and engineering teams to transform business requirements into reliable AI solutions, continuously improving quality, performance, and scalability.

Qualifications

As a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions, with autonomy and the opportunity to share knowledge with other experts.

- Strong software engineering experience building production‑grade applications using Python as the primary language, with additional experience in TypeScript, Node.js, FastAPI, Java, or Rust.
- Hands‑on experience developing LLM‑powered applications using Azure OpenAI, OpenAI, Azure AI Services, Amazon Bedrock, Gemini or Anthropic, including multi‑provider LLM orchestration.
- Proven experience designing RAG and GraphRAG solutions, working with knowledge graphs, embeddings, vector search, semantic chunking, retrieval optimization, and processing structured and unstructured enterprise data.
- Experience implementing agentic AI workflows using frameworks such as LangChain, LangFuse or Haystack,



including prompt orchestration, tracing, evaluation and observability.
- Strong experience designing cloud‑native microservices and APIs, working with Snowflake, PostgreSQL, Docker, OpenShift, Kubernetes and modern CI/CD pipelines, while collaborating effectively with cross‑functional international teams.

Benefits
- We cover your certifications and reward technical achievements up to €1,500.
- Private health insurance.
- Full coverage for sick leave.
- Free emotional, legal, and family support.
- Gym discounts or sports compensation.
- Flexible remuneration: meals, transport, childcare, and more.
- Referral bonuses: up to €6,000 per candidate and €5,000 per client.
- 23 working days of vacation.
- Free language courses: English, Spanish, Catalan and German.

Work model

We ask you to be available for key meetings. Need to leave for a doctor's appointment or to pick up your child from school? No problem. We trust you to deliver quality work within your 40‑hour workweek. Our model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other's faces; the best stories always happen in the office!

Career support

Besides your team and manager, you will have several support figures such as a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months. And the second most important person after you, your mentor, will guide you through your entire onboarding and career at ERNI. You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long‑term goals. xqbhyrx

Project lifecycle

If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development.

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📌 Senior Full Stack AI Engineer/LLM - Pharma Industry (Madrid)
🏢 Tamarind Intelligence
📍 Madrid